class_docstr: Compute Fbank && Pitch features respectively，and concate them. Return
  a tensor with shape (num_frames, dim_features).
code: def __init__(self, config: dict):
      super().__init__(config)
      self.fbank = Fbank(config)
      self.pitch = Pitch(config)
  
file_path: delta/delta/data/frontend/fbank_pitch.py
imports: import delta.compat
  from delta.utils.hparam import HParams
  from delta.data.frontend.base_frontend import BaseFrontend
  from delta.data.frontend.pitch import Pitch
  from delta.data.frontend.fbank import Fbank
label_desc: Use image node_id 1 to create a new FbankPitch object from inherited base classes: BaseFrontend with example: obj = FbankPitch(config)